Miru, an AI-Powered startup, offers a cost-effective DevOps solution, helping robotics and IoT businesses overcome the shortage of mass-produced solutions. The company aims to prevent engineering teams from being tied up in building and maintaining proprietary tools, which can lead to skyrocketing costs and a drop in product velocity.
The platform, named after the company, allows…
As corporations' use of Artificial Intelligence (AI) increases, so too does their risk of security breaches. Hackers could potentially manipulate AI into revealing crucial corporate or consumer data, a genuine concern for leaders of Fortune 500 companies developing chatbots and other AI applications. Lakera AI, a start-up in the field of GenAI security, addresses this…
The global potential of AI in radiology is immense, with the ability to revolutionize techniques from identifying minute irregularities to prioritizing critical cases. However, incorporating AI into existing healthcare structures is a significant challenge. Frequently, AI solutions operate separately, necessitating convoluted integrations and a deep understanding of IT. Moreover, evaluating the effectiveness of AI technologies…
Opslane is an open-source tool that is designed to help engineering teams tackle the issue of middle-of-the-night, unactionable alerts that add unnecessary stress to their workloads. This ingenious tool offers a solution to the difficulty faced by on-call engineers in identifying when an issue occurs, understanding its impact on the user, and resolving it swiftly.…
Small-to-mid-sized businesses (SMBs) often struggle with performing day-to-day operations manually, using Excel sheets and third-party applications to manage customer relations, track inventories, schedule deliveries, and more. This method is not only time-consuming but prone to errors and prevents scaling in the business. However, transitioning to Manaflow, an automated end-to-end workflow platform, can eliminate the need…
Language Learning Models (LLMs) are sophisticated pieces of software used to build Artificial Intelligence models. While they are incredibly valuable, their intrinsic randomness means their development requires continuous monitoring, systematic testing, and fast iteration of fundamental logic. Unfortunately, current solutions are vertical, causing a divide between stages of the development process, and slowing down developers.
Enter…
Enhancing product security remains a major challenge for businesses, given the frequency of false positives from conventional Static Application Security Testing (SAST) technologies and the complexities of addressing the identified vulnerabilities. However, a breakthrough GitHub application called ZeroPath promises a solution by automating the detection, verification and resolution of security vulnerabilities in code.
ZeroPath is designed…
Evaluating free-form material is often a challenging task that traditional methods, such as human reviewers or LLMs (Language Model), may fall short in terms of accuracy, time, and cost. As an answer to these challenges, the concept of prompt engineering has emerged, promising a unique optimization procedure necessary for improved LLM evaluations. To maximize the…
Recruiting the right candidates, both inbound and outbound, often presents recruiters with a strenuous and time-consuming challenge, which often results in lengthy hiring processes, missed opportunities, and sub-par recruitment choices. This is where Serra comes into play.
Serra is an artificial intelligence (AI)-powered candidate search engine designed to ease the recruitment process. It enables recruiters…
The immigration process in the United States is known for being notoriously difficult, requiring extensive paperwork, high costs, and complicated lottery systems. Often, immigration lawyers and legal writers must invest significant time and resources to research the most complex jobs, gather evidence, and draft a persuasive petition for various types of visas. This results in…
Startups often encounter challenges when prioritizing business growth over code quality, resulting in code sprawl and tightly coupled services. Managing even minor features or changes turns into a substantial burden and as a solution, several startups have turned to microservices. However, this introduces another set of issues such as orchestration, lifecycle management, and versioning dependencies.…
Web data collection, monitoring, and maintenance can prove daunting, particularly when dealing with large volumes of data. Traditional methods, through inadequate handling of pagination, dynamic content, bot detection, and site modifications, can compromise data quality and availability. Typically, companies opt to either build an in-house technical team or outsource to a lower-cost country. While each…